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POST
/
cloud
/
v3
/
inference
/
applications
/
{project_id}
/
deployments
Python
import os
from gcore import Gcore

client = Gcore(
    api_key=os.environ.get("GCORE_API_KEY"),  # This is the default and can be omitted
)
task_id_list = client.cloud.inference.applications.deployments.create(
    project_id=1,
    application_name="demo-app",
    components_configuration={
        "model": {
            "exposed": True,
            "flavor": "inference-16vcpu-232gib-1xh100-80gb",
            "scale": {
                "max": 1,
                "min": 1,
            },
        }
    },
    name="name",
    regions=[1, 2],
)
print(task_id_list.tasks)
{
  "tasks": [
    "<string>"
  ]
}

Authorizations

​
Authorization
string
header
required

API key for authentication. Make sure to include the word apikey, followed by a single space and then your token. Example: apikey 1234$abcdef

Path Parameters

​
project_id
integer
required

Project ID

Example:

1

Body

application/json
​
application_name
string
required

Identifier of the application from the catalog

Example:

"demo-app"

​
components_configuration
Components Configuration · object
required

Mapping of component names to their configuration (e.g., "model": {...})

Example:
{
  "model": {
    "exposed": true,
    "flavor": "inference-16vcpu-232gib-1xh100-80gb",
    "scale": { "max": 1, "min": 1 }
  }
}
​
name
string
required

Desired name for the new deployment

Maximum string length: 15
​
regions
integer[]
required

Geographical regions where the deployment should be created

Example:
[1, 2]
​
api_keys
string[]

List of API keys for the application

Example:
["key1", "key2"]

Response

200 - application/json

OK

​
tasks
string[]
required

List of task IDs representing asynchronous operations. Use these IDs to monitor operation progress:

  • GET /v1/tasks/{task_id} - Check individual task status and details Poll task status until completion (FINISHED/ERROR) before proceeding with dependent operations.
Example:
["d478ae29-dedc-4869-82f0-96104425f565"]